M.W. Adlard

34 total papers · 597 total citations
33 papers, 461 citations indexed

About

M.W. Adlard is a scholar working on Pharmacology, Spectroscopy and Molecular Biology. According to data from OpenAlex, M.W. Adlard has authored 33 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 11 papers in Spectroscopy and 8 papers in Molecular Biology. Recurrent topics in M.W. Adlard's work include Antibiotics Pharmacokinetics and Efficacy (10 papers), Analytical Chemistry and Chromatography (10 papers) and Analytical Methods in Pharmaceuticals (5 papers). M.W. Adlard is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (10 papers), Analytical Chemistry and Chromatography (10 papers) and Analytical Methods in Pharmaceuticals (5 papers). M.W. Adlard collaborates with scholars based in United Kingdom, Singapore and United States. M.W. Adlard's co-authors include Tajalli Keshavarz, G. Holt, Mark E. Rogers, Graham C. Saunders, Ajit J. Shah, Abdul Jabbar Shah, C. Bucke, Herbert N. Arst, Joan Tilburn and Robert A. Rastall and has published in prestigious journals such as Journal of Chromatography A, Microbiology and The Analyst.

In The Last Decade

M.W. Adlard

32 papers receiving 403 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.W. Adlard	188	140	111	107	76	33	461
Mario O. Salazar	118 0.6×	183 1.3×	64 0.6×	59 0.6×	54 0.7×	28	511
Alfonso Rivera‐Sagredo	132 0.7×	244 1.7×	47 0.4×	84 0.8×	31 0.4×	27	523
Xiao Yang Gong	79 0.4×	167 1.2×	39 0.4×	110 1.0×	48 0.6×	22	491
Xiaorong Xu	55 0.3×	155 1.1×	184 1.7×	29 0.3×	63 0.8×	38	505
Barbara Majer-Dziedzic	48 0.3×	137 1.0×	81 0.7×	75 0.7×	36 0.5×	42	413
Mitja Križman	53 0.3×	148 1.1×	186 1.7×	68 0.6×	36 0.5×	32	453
Yan Jiang	121 0.6×	176 1.3×	166 1.5×	25 0.2×	21 0.3×	23	505
Yvonne Gunning	99 0.5×	228 1.6×	83 0.7×	40 0.4×	70 0.9×	16	513
Ivan Pecorelli	89 0.5×	54 0.4×	150 1.4×	54 0.5×	118 1.6×	31	489
Munio Kotake	37 0.2×	150 1.1×	79 0.7×	81 0.8×	26 0.3×	46	415

Countries citing papers authored by M.W. Adlard

Since Specialization

Citations

This map shows the geographic impact of M.W. Adlard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.W. Adlard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.W. Adlard more than expected).

Fields of papers citing papers by M.W. Adlard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.W. Adlard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.W. Adlard. The network helps show where M.W. Adlard may publish in the future.

Co-authorship network of co-authors of M.W. Adlard

This figure shows the co-authorship network connecting the top 25 collaborators of M.W. Adlard. A scholar is included among the top collaborators of M.W. Adlard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.W. Adlard. M.W. Adlard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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